ANALYSIS SYSTEM, INFORMATION PROCESSING APPARATUS, ACTIVITY ANALYSIS METHOD AND PROGRAM PRODUCT

• US 20090222557A1
• Filed: 02/27/2009
• Published: 09/03/2009
• Est. Priority Date: 02/29/2008
• Status: Active Grant

• Current Assignee: Hulu LLC (The Walt Disney Company)
• Original Assignee: International Business Machines Corporation
• Inventors: Yanagisawa, Hiroki, Rudy, Raymond Harry Putra, Suzuki, Akiko, Yoshida, Issei
• Granted Patent: US 8,095,652 B2
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: H04L 67/1095 Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

An analysis system, information processing apparatus, activity analysis method, and program for analyzing activities of an information source on a network. The system and apparatus include an attribute extraction block for extracting, an information propagation graph acquisition block for searching action history data, and a characteristic user calculation block for calculating an amount characteristic. The method and program product include the steps of extracting an information characteristic value, searching action history data, registering the information, calculating an amount characteristic, and integrating the amount characteristic.

Claims

1. An analysis system for analyzing an activity of an information source on a network, comprising:

an attribute extraction block for extracting an information characteristic value from information transmitted through the network to generate an index list in which the information characteristic value is registered in association with an information identification value;

an information propagation graph acquisition block for searching action history data in association with the information having an attribute extracted by a setting condition from an action type on the network associated with the information, a user ID uniquely identifying a user, and the action history data recorded in association with the information, and registering the information as a node on the network in response to generating or editing the information to generate a graph connected by a link indicating time-series generation of the node using the action type; and

a characteristic user calculation block for calculating an amount of node characteristic as a measure to indicate, in the graph, the activity of the node on the network to integrate the amount of node characteristic based on the link in the graph in order to convert, into a numerical value, the activity as the information source of the user.

2. The analysis system according to claim 1, further comprising:

a server including an information storage for accumulating the information and an action history storage for collecting the action history data, wherein the information propagation graph acquisition block acquires the information and the action history data accumulated in the server and generates a graph about the information propagated via the server.

3. The analysis system according to claim 2, further comprising:

a communication controlling block, wherein the setting condition is acquired through the communication controller to set the attribute of the information.

4. The analysis system according to claim 3, wherein the server is an SNS server or web server.

5. An information processing system for analyzing an activity of an information source on a network, comprising:

an attribute extraction block for extracting an information characteristic value from information transmitted through the network to generate an index list in which the information characteristic value is registered in association with an information identification value;

an information propagation graph acquisition block for searching action history data in association with the information having an attribute extracted by a setting condition for specifying the information attribute from an action type on the network associated with the information, a user ID uniquely identifying a user, and the action history data recorded in association with the information, and registering the information as a node on the network in response to generating or editing the information to generate a graph connected by a link indicating time-series generation of the node using the action type; and

a characteristic user calculation block for calculating an amount of node characteristic as a measure to indicate, in the graph, activity of the node on the network to integrate the amount of node characteristic based on the link in the graph in order to convert, into a numerical value, the activity as the information source of the user.

6. The information processing system according to claim 5, further comprising:

a server connected to the network including an information storage for accumulating the information and an action history storage for collecting the action history data, wherein the information propagation graph acquisition block acquires the information and the action history data accumulated in the server to generate a graph about the information propagated via the server.

7. The information processing system according to claim 6, further comprising:

a communication controlling block, wherein the setting condition is acquired through the communication controller to set the attribute of the information.

8. The information processing system according to claim 7, wherein the server is an SNS server or web server.

9. The information processing system according to claim 6, wherein the information processing system is a function module of the server.

10. An activity analysis method for allowing a computer to analyze an activity of an information source on a network, the method allowing the computer to execute the steps of:

extracting an information characteristic value from information transmitted through the network to generate an index list in which the information characteristic value is registered in association with an information identification value;

searching action history data in association with the information having an attribute extracted by a setting condition for specifying the information attribute from an action type on the network associated with the information, a user ID uniquely identifying a user, and the action history data registered in association with the information;

registering the information as a node in response to generating or editing the information on the network to generate a graph connected by a link indicating time-series generation of the node using the action type;

calculating an amount of node characteristic as a measure to indicate, in the graph, the activity of the node on the network; and

integrating the amount of node characteristic based on the link in the graph to convert, into a numerical value, the activity as the information source of the user.

11. The activity analysis method according to claim 10, wherein the graph generation step includes a step of acquiring the information and the action history data to generate the graph about information propagations via the server and whose attributes are specified by the setting condition.

12. The activity analysis method according to claim 11, wherein the setting conditions are keywords, and the method further comprises a step of acquiring the setting conditions through a communication controller to store, in an information storage, the setting conditions for setting the attributes of the information.

13. The activity analysis method according to claim 12, wherein the step of converting the activities into numerical values and storing them is to convert, into the numerical values, the activities functioning as an information source of the user who accesses an SNS server or web server.

14. An activity analysis program product for allowing a computer to analyze an activity of an information source on a network, the program product tangibly embodying computer readable instructions which when executed, allows the computer to execute the steps of:

extracting information characteristic values from information transmitted through the network to generate an index list in which the information characteristic values are registered in association with information identification values;

searching action history data in association with the information having attributes extracted by a setting condition for specifying the information attributes from an action type on the network associated with the information, a user ID uniquely identifying a user, and the action history data registered in association with the information;

registering the information as a node in response to generating or editing the information on the network to generate a graph connected by a link indicating time-series generation of the node using the action type;

calculating an amount of node characteristic as such a measure that the node in the graph functions as an information source; and

integrating the amount of node characteristic based on the link in the graph to convert, into a numerical value, the activity as the information source of the user.

15. The activity analysis program product according to claim 14, wherein the graph generation step includes a step of acquiring the information and the action history data to generate the graph about the information propagation via the server whose attributes are specified by the setting conditions.

16. The activity analysis program product according to claim 14, wherein the setting condition are keywords, and the program further comprises a step of acquiring the setting conditions through a communication controller to store, in an information storage, the setting conditions for setting the attributes of the information.

17. The activity analysis program product according to claim 14, wherein the step of converting the activity into a numerical value and storing it is to convert, into the numerical value, the activity functioning as an information source of the user who accesses an SNS server or web server.